P31346 AF NFT

Angiogenin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihuheceb6iklslq7zpdl5pjd7bi7z4pejikrsplefvma4ydlwh4ry/metadata.json
IPFS of structure file: 
bafybeib46w4krc2v3kf5yawy2z22l6x4a76nghl7fhf4qx3v5k2lca32qi/AF-P31346-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb3c9140a3Ab4F8AA2F14f418833981d248115b94
First NFT owner address (bech32): 
genesis1k0y3gz36knu25tc57svgxwvp6fypzku5xhsmhh
Current NFT ID #16247 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
16247
Accession (UniProt):
P31346
Name::
Angiogenin
Experimental Method:
Predicted structure
Sequence source:
SUS SCROFA

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT P31346 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P31346|ANGI_PIG Angiogenin OS=Sus scrofa OX=9823 GN=ANG PE=1 SV=1 KDEDRYTHFLTQHYDAKPKGRDGRYCESIMKQRGLTRPCKEVNTFIHGTRNDIKAICNDKNGEPYNNFRRSKSPFQITTCKHKGGSNRPPCGYRATAGFRTIAVACENGLPVHFDESFIITSQ